Triple
T5385802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Kavus |
E120198
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Kay Khosrow |
E128741
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kay Khosrow | Statement: [Kay Kavus, successor, Kay Khosrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Khosrow Context triple: [Kay Kavus, successor, Kay Khosrow]
-
A.
Kay Khosrow
chosen
Kay Khosrow is a legendary, just, and spiritually enlightened king of Iran in Ferdowsi’s epic Shahnameh, renowned for avenging his father and then renouncing his throne to vanish mysteriously.
-
B.
Khosrow II
Khosrow II was a powerful Sasanian king of Persia (r. 590–628) known for his expansive wars against the Byzantine Empire and his eventual defeat by Emperor Heraclius.
-
C.
Khosrow I
Khosrow I was a powerful 6th-century Sasanian king of Persia renowned for his military campaigns, administrative reforms, and patronage of philosophy and science.
-
D.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
E.
Khusrav
Khusrav is a masculine given name of Persian origin, historically borne by princes and notable figures in Central and South Asia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd86f5a7388190aa4ba2052afca74e |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf335b5acc81908c43776b614e9c1a |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:03 p.m.